{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:BARICJJG7V6IDUSYJ6DVWXG5NK","short_pith_number":"pith:BARICJJG","canonical_record":{"source":{"id":"2403.12948","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-03-19T17:50:32Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"fb02b60521202c7945b60290431cac0641eeeac3ef0039eac68bd145606cedfa","abstract_canon_sha256":"8f7eb814633e7eff0e5ada67721276f847ba5c734275855b793f66c0dd8497e9"},"schema_version":"1.0"},"canonical_sha256":"0822812526fd7c81d2584f875b5cdd6a8d4757e730abfcf5ac194929cf858988","source":{"kind":"arxiv","id":"2403.12948","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.12948","created_at":"2026-07-05T07:58:09Z"},{"alias_kind":"arxiv_version","alias_value":"2403.12948v1","created_at":"2026-07-05T07:58:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.12948","created_at":"2026-07-05T07:58:09Z"},{"alias_kind":"pith_short_12","alias_value":"BARICJJG7V6I","created_at":"2026-07-05T07:58:09Z"},{"alias_kind":"pith_short_16","alias_value":"BARICJJG7V6IDUSY","created_at":"2026-07-05T07:58:09Z"},{"alias_kind":"pith_short_8","alias_value":"BARICJJG","created_at":"2026-07-05T07:58:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:BARICJJG7V6IDUSYJ6DVWXG5NK","target":"record","payload":{"canonical_record":{"source":{"id":"2403.12948","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-03-19T17:50:32Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"fb02b60521202c7945b60290431cac0641eeeac3ef0039eac68bd145606cedfa","abstract_canon_sha256":"8f7eb814633e7eff0e5ada67721276f847ba5c734275855b793f66c0dd8497e9"},"schema_version":"1.0"},"canonical_sha256":"0822812526fd7c81d2584f875b5cdd6a8d4757e730abfcf5ac194929cf858988","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:58:09.827851Z","signature_b64":"H9wLXxDUvwykvKn5WoCR2ViMZmfgarxvNT/ayV6Olo0TGPzI5iKpTNi1m0NE/UYOe4cjvAcInm4egg5q0NK/Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0822812526fd7c81d2584f875b5cdd6a8d4757e730abfcf5ac194929cf858988","last_reissued_at":"2026-07-05T07:58:09.827431Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:58:09.827431Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.12948","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:58:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+vhEGQlgrtJxFTz2ISI1l0KOzO9/HqrL71lMzCWTYL3bA2TqkuHGRmO90ibI1AfWUGXvsG/i7u0LIb5aG/E/Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T10:34:41.016956Z"},"content_sha256":"e020fb44203e96bdcffecd4b93d2fc78803b947cfcba6c8bbf0ae6d96c41dda6","schema_version":"1.0","event_id":"sha256:e020fb44203e96bdcffecd4b93d2fc78803b947cfcba6c8bbf0ae6d96c41dda6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:BARICJJG7V6IDUSYJ6DVWXG5NK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"On Safety in Safe Bayesian Optimization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Christian Fiedler, Johanna Menn, Lukas Kreisk\\\"other, Sebastian Trimpe","submitted_at":"2024-03-19T17:50:32Z","abstract_excerpt":"Optimizing an unknown function under safety constraints is a central task in robotics, biomedical engineering, and many other disciplines, and increasingly safe Bayesian Optimization (BO) is used for this. Due to the safety critical nature of these applications, it is of utmost importance that theoretical safety guarantees for these algorithms translate into the real world. In this work, we investigate three safety-related issues of the popular class of SafeOpt-type algorithms. First, these algorithms critically rely on frequentist uncertainty bounds for Gaussian Process (GP) regression, but c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.12948","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2403.12948/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:58:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"k42wVqT+Nd3dFnm03l29Bu/gMtmPdWDgL4i+TQverXtf7iMRHxN8UJYfEEKFem2fo7X5TJxmWmsza5PaJWPDCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T10:34:41.017918Z"},"content_sha256":"78814e34f70412c2b487b4fddd0cdc5816042fdbf44e1b4a14f806d97b44e49f","schema_version":"1.0","event_id":"sha256:78814e34f70412c2b487b4fddd0cdc5816042fdbf44e1b4a14f806d97b44e49f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BARICJJG7V6IDUSYJ6DVWXG5NK/bundle.json","state_url":"https://pith.science/pith/BARICJJG7V6IDUSYJ6DVWXG5NK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BARICJJG7V6IDUSYJ6DVWXG5NK/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-16T10:34:41Z","links":{"resolver":"https://pith.science/pith/BARICJJG7V6IDUSYJ6DVWXG5NK","bundle":"https://pith.science/pith/BARICJJG7V6IDUSYJ6DVWXG5NK/bundle.json","state":"https://pith.science/pith/BARICJJG7V6IDUSYJ6DVWXG5NK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BARICJJG7V6IDUSYJ6DVWXG5NK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:BARICJJG7V6IDUSYJ6DVWXG5NK","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"8f7eb814633e7eff0e5ada67721276f847ba5c734275855b793f66c0dd8497e9","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-03-19T17:50:32Z","title_canon_sha256":"fb02b60521202c7945b60290431cac0641eeeac3ef0039eac68bd145606cedfa"},"schema_version":"1.0","source":{"id":"2403.12948","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.12948","created_at":"2026-07-05T07:58:09Z"},{"alias_kind":"arxiv_version","alias_value":"2403.12948v1","created_at":"2026-07-05T07:58:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.12948","created_at":"2026-07-05T07:58:09Z"},{"alias_kind":"pith_short_12","alias_value":"BARICJJG7V6I","created_at":"2026-07-05T07:58:09Z"},{"alias_kind":"pith_short_16","alias_value":"BARICJJG7V6IDUSY","created_at":"2026-07-05T07:58:09Z"},{"alias_kind":"pith_short_8","alias_value":"BARICJJG","created_at":"2026-07-05T07:58:09Z"}],"graph_snapshots":[{"event_id":"sha256:78814e34f70412c2b487b4fddd0cdc5816042fdbf44e1b4a14f806d97b44e49f","target":"graph","created_at":"2026-07-05T07:58:09Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2403.12948/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Optimizing an unknown function under safety constraints is a central task in robotics, biomedical engineering, and many other disciplines, and increasingly safe Bayesian Optimization (BO) is used for this. Due to the safety critical nature of these applications, it is of utmost importance that theoretical safety guarantees for these algorithms translate into the real world. In this work, we investigate three safety-related issues of the popular class of SafeOpt-type algorithms. First, these algorithms critically rely on frequentist uncertainty bounds for Gaussian Process (GP) regression, but c","authors_text":"Christian Fiedler, Johanna Menn, Lukas Kreisk\\\"other, Sebastian Trimpe","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-03-19T17:50:32Z","title":"On Safety in Safe Bayesian Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.12948","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:e020fb44203e96bdcffecd4b93d2fc78803b947cfcba6c8bbf0ae6d96c41dda6","target":"record","created_at":"2026-07-05T07:58:09Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"8f7eb814633e7eff0e5ada67721276f847ba5c734275855b793f66c0dd8497e9","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-03-19T17:50:32Z","title_canon_sha256":"fb02b60521202c7945b60290431cac0641eeeac3ef0039eac68bd145606cedfa"},"schema_version":"1.0","source":{"id":"2403.12948","kind":"arxiv","version":1}},"canonical_sha256":"0822812526fd7c81d2584f875b5cdd6a8d4757e730abfcf5ac194929cf858988","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0822812526fd7c81d2584f875b5cdd6a8d4757e730abfcf5ac194929cf858988","first_computed_at":"2026-07-05T07:58:09.827431Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:58:09.827431Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"H9wLXxDUvwykvKn5WoCR2ViMZmfgarxvNT/ayV6Olo0TGPzI5iKpTNi1m0NE/UYOe4cjvAcInm4egg5q0NK/Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:58:09.827851Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.12948","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e020fb44203e96bdcffecd4b93d2fc78803b947cfcba6c8bbf0ae6d96c41dda6","sha256:78814e34f70412c2b487b4fddd0cdc5816042fdbf44e1b4a14f806d97b44e49f"],"state_sha256":"e917c11c0963fbca5ca596b777f22962cbec1baf5d1f24d75ff2b8fb0b786e85"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jtuL/VTo8RCcDbeCyb998H5UowPOn72DVhk1FjjjUCLL71sPOoG/vr9uxRdCDP6HaqhkpvbbVKSffl0krVsTBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T10:34:41.035024Z","bundle_sha256":"38979b85288f4b47ed7be62f031add7964c91c89ca6ccab595f91da3db07096c"}}